Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agentlas-ai/agentlas-desktop --skill ginkgo-cloud-labgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/ginkgo-cloud-lab)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/ginkgo-cloud-lab"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/ginkgo-cloud-lab/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/ginkgo-cloud-lab"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/ginkgo-cloud-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00135 | $0.02135 |
| Opus 5.5 | $0.00054 | $0.00854 |
| Sonnet 5.5 | $0.00027 | $0.00427 |
| Haiku 4.5 | $0.00014 | $0.00214 |
Grade A, and why
ginkgo-cloud-lab scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
89% identical to ginkgo-cloud-lab — 61 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ginkgo Cloud Lab
Overview
Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols are executed on Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments.
The platform also includes EstiMate, an AI agent that accepts human-language protocol descriptions and returns feasibility assessments and pricing for custom workflows beyond the listed protocols.
The catalog is organized into Expression & Purification (in vitro / cell-free / E. coli / Pichia), Characterization & Assay, Method & Target Onboarding, and Specialty. Pick a protocol below, then read its reference file for inputs, outputs, the automated workflow, and ordering details.
Available Protocols
Expression & Purification - In vitro
| Protocol | Readout | Price | Turnaround | Status |
|---|---|---|---|---|
| IVT mRNA/circRNA Synthesis | qPCR (mRNA or circRNA, 384-well) | $99/sample | up to 12 business days | Certified |
Expression & Purification - Cell-free (E. coli CFPS)
| Protocol | Readout | Price | Turnaround | Status |
|---|---|---|---|---|
| Validate sequence expression | Go/no-go titer + purity (up to 1800 bp) | $39/sample | up to 10 days | Certified |
| Optimize expression conditions | DoE across 24 conditions | $199/sample | up to 11 days | Certified |
| Express + quantify (HiBiT) | Luminescence, no purification | $39/sample | up to 11 days | Certified |
| Express + purify (A280) | Strep-tag, A280 yield | $149/sample | up to 11 days | Certified |
| Express + purify minibinder | Strep-tag, A280, LabChip | $149/sample | up to 11 days | Certified |
| Express + purify (A280 + LabChip) | Strep-tag, A280 + purity/size | $159/sample | up to 12 days | Certified |
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/cell-free-protein-expression-hibit.md 2.1 KB
- references/cell-free-protein-expression-optimization.md 2.6 KB
- references/cell-free-protein-expression-validation.md 2.0 KB
- references/cfps-expression-purification-quantification.md 2.4 KB
- references/cfps-strep-purification-thermal-shift.md 3.1 KB
- references/cfps-strep-tag-purification-a280.md 2.2 KB
- references/echo-ms-cfps-detection.md 1.8 KB
- references/echo-ms-method-onboarding.md 2.4 KB
- references/ecoli-expression-purification-quantification.md 2.3 KB
- references/ecoli-minibinder-expression-histag-a280.md 2.4 KB
- references/ecoli-protein-expression-hibit.md 1.9 KB
- references/ecoli-protein-expression-histag-a280.md 2.1 KB
- references/fluorescent-pixel-art-generation.md 2.8 KB
- references/ivt-rna-synthesis-qpcr.md 2.1 KB
- references/minibinder-strep-tag-a280.md 2.2 KB
- references/pichia-protein-expression-labchip.md 2.0 KB
- references/spr-target-onboarding.md 2.0 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 125 lines · 135 tokens per session scan A 88ca5a0f1e2d
ginkgo-cloud-lab is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 135 tokens to every session and 2,135 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to ginkgo-cloud-lab, differing in 61 lines, and is treated as a copy.
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